R Under development (unstable) (2024-08-23 r87049 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
>  Sys.setenv('OMP_THREAD_LIMIT'=2)
>  library(rlibkriging)

Attaching package: 'rlibkriging'

The following objects are masked from 'package:base':

    load, save

> 
> ##library(testthat)
> ##library(rlibkriging, lib.loc="bindings/R/Rlibs")
> #rlibkriging:::optim_log(2)
> #rlibkriging:::optim_use_reparametrize(FALSE)
> #rlibkriging:::optim_set_theta_lower_factor(0.02)
> 
> 
> f = function(x) 1-1/2*(sin(12*x)/(1+x)+2*cos(7*x)*x^5+0.7)
> n <- 5
> set.seed(123)
> X <- as.matrix(runif(n))
> y = f(X)
> 
> #library(rlibkriging)
> 
> 
> context("Kriging")
> 
> r_noestim <- Kriging(y, X, "gauss", optim="none", parameters=list(theta= matrix(0.1) ,sigma2= 0.01 ,beta= matrix(0.123)))
> print(r_noestim)
* data: 5x[0.287578,0.940467] -> 5x[0.194057,1.00912]
* trend constant: 0.123
* variance: 0.01
* covariance:
  * kernel: gauss
  * range: 0.1
  * fit:
    * objective: LL
    * optim: none
> test_that(desc="theta noestim",
+           expect_equal( r_noestim$theta()[1] , 0.1 ,tol=1E-10))
Test passed 🥳
> test_that(desc="sigma2 noestim",
+           expect_equal( r_noestim$sigma2() , 0.01 ,tol=1E-10))
Test passed 🥳
> test_that(desc="beta noestim",
+           expect_equal( r_noestim$beta()[1] , 0.123 ,tol=1E-10))
Test passed 🎉
> 
> 
> context("NuggetKriging")
> 
> rnu_noestim <- NuggetKriging(y, X, "gauss", optim="none", parameters=list(theta= matrix(0.1) ,sigma2= 0.01 ,beta= matrix(0.123), nugget= 0.0456))
> print(rnu_noestim)
* data: 5x[0.287578,0.940467] -> 5x[0.194057,1.00912]
* trend constant: 0.123
* variance: 0.01
* covariance:
  * kernel: gauss
  * range: 0.1
  * nugget: 0.0456
  * fit:
    * objective: LL
    * optim: none
> test_that(desc="theta noestim",
+           expect_equal( rnu_noestim$theta()[1] , 0.1 ,tol=1E-10))
Test passed 😸
> test_that(desc="sigma2 noestim",
+           expect_equal( rnu_noestim$sigma2() , 0.01 ,tol=1E-10))
Test passed 🥇
> test_that(desc="beta noestim",
+           expect_equal( rnu_noestim$beta()[1] , 0.123 ,tol=1E-10))
Test passed 🌈
> test_that(desc="nugget noestim",
+           expect_equal( rnu_noestim$nugget() , 0.0456 ,tol=1E-10))
Test passed 🎉
> 
> context("NoiseKriging")
> 
> rno_noestim <- NoiseKriging(y, rep(0.05,nrow(X)) , X, "gauss", optim="none", parameters=list(theta= matrix(0.1) ,sigma2= 0.01 ,beta= matrix(0.123)))
> print(rno_noestim)
* data: 5x[0.287578,0.940467] -> 5x[0.194057,1.00912]
  * noise: 5x[0.05,0.05]
* trend constant: 0.123
* variance: 0.01
* covariance:
  * kernel: gauss
  * range: 0.1
  * fit:
    * objective: LL
    * optim: none
> test_that(desc="theta noestim",
+           expect_equal( rno_noestim$theta()[1] , 0.1 ,tol=1E-10))
Test passed 🎉
> test_that(desc="sigma2 noestim",
+           expect_equal( rno_noestim$sigma2() , 0.01 ,tol=1E-10))
Test passed 😀
> test_that(desc="beta noestim",
+           expect_equal( rno_noestim$beta()[1] , 0.123 ,tol=1E-10))
Test passed 🥳
> 
> proc.time()
   user  system elapsed 
   2.31    0.25    2.56